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  1. Top of page
  2. Abstract
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgements
  9. References

Excess thyroid hormone is associated with increased bone loss and fracture risk in older women, but few data exist for men. We sought to determine if thyroid function is independently associated with bone loss and fracture risk in older men. Data were analyzed from the Osteoporotic Fractures in Men (MrOS) study, a cohort of community-dwelling U.S. men aged 65 years and older. Using a case-cohort design, fasting baseline serum archived at −80°C was assayed for thyroid-stimulating hormone (thyrotropin) (TSH) and free thyroxine (FT4) in 397 men with confirmed nonspine fracture, including 157 hip fractures, and 1420 randomly selected men without fracture. TSH and FT4 were analyzed as continuous variables and as thyroid function categories (subclinical hyperthyroid, euthyroid, and subclinical hypothyroid). Hip dual-energy X-ray absorptiometry (DXA) (Hologic QDR4500) was measured at baseline and after a mean follow-up of 4.6 years. Incident nonspine fractures were centrally adjudicated. Bone loss was evaluated with multivariate regression methods and fractures risk was evaluated using hazard models that accounted for the case-cohort sampling, adjusted for age, clinic-site, body mass index (BMI), race, physical activity, corticosteroid use, smoking, alcohol intake, and thyroid medication use. In fully adjusted analyses, TSH was not associated with risk of nonspine fracture (relative hazard [RH] 0.92 per SD decrease in TSH; 95% confidence interval [CI], 0.74–1.14), but was significantly associated with risk of hip fracture (RH 1.31; 95% CI, 1.01–1.71), which persisted among normal range TSH values (RH 1.21; 95% CI, 1.00–1.47). There was no association between TSH or FT4 and bone loss, and fracture risk did not differ significantly by thyroid function category. We conclude that although neither TSH nor FT4 are associated with bone loss, lower serum TSH may be associated with an increased risk of hip fractures in older men. © 2013 American Society for Bone and Mineral Research.


  1. Top of page
  2. Abstract
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgements
  9. References

Overt hyperthyroidism is a recognized risk fracture for decreased bone mineral density (BMD) in both men and women, and increased risk of fracture in older women.1, 2 However, the relationship between subclinical hyperthyroidism or subclinical hypothyroidism and skeletal outcomes is less definitive.

One large prospective study found an increased risk for hip and vertebral fractures among women with low thyroid-stimulating hormone (thyrotropin) (TSH ≤ 0.1 mIU/L) but free thyroxine (FT4) was not measured, thereby limiting definitive determination of thyroid status.3 Another recent study found an association between subclinical hyperthyroidism and hip fracture in men, but not in women.4 A third prospective study of men and women including participants with subclinical thyroid dysfunction found an association between higher FT4 and decreased femoral neck BMD, but no increase in fracture risk.5

Recent evidence also suggests there may be an association between thyroid function and skeletal outcomes even within the euthyroid range, though few prospective data exist. One prospective study found an association between lower TSH and increased risk of nonspine fracture.6 Cross-sectional studies have similarly found an association between lower TSH and nonspine fractures,7 but the reported association of different measures of thyroid function with BMD has been inconsistent.7–10

Data on the association between thyroid function and skeletal outcomes in men are sparse. Most studies of male cohorts have been cross-sectional and have produced conflicting results.9, 10 Older men in particular represent an important group of individuals at risk for osteoporotic fractures. The lifetime risk of hip fracture in men by age 90 years has been reported as close to 20%, and osteoporotic fractures are associated with increased mortality in men as in women.11, 12 Previous data suggest that up to 5% of ambulatory men over 60 years have suppressed serum TSH values13, 14; therefore, it is important to determine the relationship between thyroid function and fracture in this population.

Using data from the Osteoporotic Fractures in Men (MrOS) study, a cohort of community-dwelling older men, we sought to determine the relationship between baseline TSH and FT4 and incident hip and nonspine fractures, and changes in BMD. We also examined these associations among participants with normal range TSH values to determine the relationship between thyroid function and skeletal outcomes in euthyroid individuals.

Subjects and Methods

  1. Top of page
  2. Abstract
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgements
  9. References

Study population

The MrOS study is a prospective cohort of 5994 community-dwelling ambulatory men designed to study healthy aging and fracture risk. Participants were enrolled from March 2000 to April 2002 at one of six U.S. clinical centers. Participants were recruited by mailings to the Department of Motor Vehicles and voter registration databases, community and senior newspaper advertisements, and presentations targeted at seniors in the communities surrounding the six clinical sites.15 Eligible men were at least 65 years old, able to walk without the assistance of another person, and did not have bilateral hip replacements. Details of the MrOS study design and cohort have been reported.15, 16 The Institutional Review Board at each clinical center approved the study protocol, and written informed consent was obtained from all participants.

To analyze the prospective relationship between thyroid function, bone loss, and fracture risk, we used a case-cohort design.17 Fasting serum from the baseline MrOS visit, archived at −80°C in all participants, was used to measure TSH and FT4 in all men selected for study inclusion. Men without sufficient serum for assays were excluded from all analyses. Of the 5594 eligible participants, we randomly selected 1602 men to serve as the subcohort.17 Individuals with discordant thyroid function tests (n = 33) suggestive of pituitary disease or nonthyroidal illness were excluded from this analysis. Participants using testosterone supplements, bisphosphonates, or other osteoporosis treatment medications were also excluded from this analysis because of the effect of these medications on bone density and fracture risk (n = 73). Participants using thyroid hormone replacement (n = 134) were included; however, analyses were also repeated after their exclusion and results (described below) were similar. After these exclusions, the number if men remaining in the random subcohort was 1526.

We observed 397 incident nonspine fractures (including 157 hip fractures) in the entire cohort over the 4.6 years of follow-up. Among these participants with fracture, 112 men also were sampled within the subcohort. The total study sample for the nonspine fracture analysis was 1817 men (1526 subcohort and 397 men with nonspine fractures) and for hip fracture analysis was 1635 men (1526 subcohort and 157 hip fractures.).

Thyroid hormone measurements

TSH was measured using a third-generation assay (ADVIA Centaur; Siemens Diagnostics, Deerfield, IL, USA). The normal reference range for TSH by this assay is 0.55 to 4.78 mIU/L and the coefficient of variation at 2.08 mIU/L is 2.4%. FT4 was measured using a competitive immunoassay (Siemens Diagnostics). The normal reference range for FT4 by this assay is 9.0 to 23.8 pmol/L and the coefficient of variation at 14.03 pmol/L is 4.1%.

Thyroid function categories

TSH and FT4 were used simultaneously to define thyroid function categories: subclinical hyperthyroid (TSH < 0.55 mIU/L, FT4 9.0–23.8 pmol/L), euthyroid (TSH 0.55–4.78 mIU/L, FT4 9.0–23.8 pmol/L), and subclinical hypothyroid (TSH > 4.78 mIU/L, FT4 9.0–23.8 pmol/L).18 We were unable to analyze categories of subclinical hyperthyroid participants by degree of TSH suppression (<0.1 versus ≥0.1 mIU/L) because so few individuals had a TSH < 0.1 mIU/L (n = 7). Because so few participants had overt hyperthyroidism (TSH < 0.55 mIU/L, FT4 > 23.8 pmol/L, n = 2) or overt hypothyroidism (TSH > 4.78 mIU/L, FT4 < 9.0 pmol/L, n = 16), these participants were excluded from analyses using thyroid function categories as a predictor because these categories would have been too small to provide meaningful results.

Measurement of bone density: dual-energy X-ray absorptiometry

Areal BMD (g/cm2) of the total hip, and hip subregions was measured at baseline in all participants using dual-energy X-ray absorptiometry (DXA) (Hologic QDR4500; Hologic, Bedford, MA, USA). All measurements were made on the right hip unless participants reported a history of right hip replacement or other metal objects in the right leg; if so, the left hip was imaged. Densitometry operators were certified by Hologic training. Quality control using daily scans of standardized phantoms found no shifts in performance of scanners, and cross-calibration was performed to assess variation between scanners at the different study sites.19 Of the 1526 men in the random cohort, repeat hip DXA was performed in 1112 men (73%) after a mean follow-up of 4.6 years using the same devices and quality control procedures as for the baseline examination.

Ascertainment of fractures

Participants were contacted every 4 months by mail to inquire about recent fractures. All reported fractures were centrally adjudicated by physician review of radiology reports or X-rays if reports were not available or definitive. Vertebral fractures, morphometric or clinical, were not included in this analysis.

Assessment of covariates

Medical history, race, physical activity, fall history, alcohol consumption, and smoking status were obtained using a self-administered questionnaire. Physical activity was quantified using the Physical Activity Score for the Elderly (PASE).20 During an interview-administered questionnaire, participants were asked to rate their overall health, and this response was subsequently dichotomized to “fair” or “poor” health versus “good” or “excellent” health.21 Prescription medication use at baseline was ascertained by review of all medications taken during the last 30 days and confirmed by review of medication containers during the clinical interview.16 Medications were classified centrally using a hierarchical drug dictionary based upon the Iowa Drug Information System codes (College of Pharmacy, University of Iowa, Iowa City, IA, USA).22 Height was measured using a wall-mounted stadiometer and weight by a balance beam or digital scale. Body mass index (BMI) was calculated as weight in kilograms divided by height in meters squared (kg/m2).

Statistical analysis

Baseline characteristics of the cohort were compared by incident fracture status, using χ2 tests for categorical and t tests for continuous variables. For variables significantly deviating from a normal distribution, the appropriate nonparametric test was employed.

Covariates were chosen based on the previous literature and biological plausibility. Additional covariates were selected based on significant (p < 0.10) univariate association with fracture (BMI, race, smoking status), thyroid function (thyroid hormone use, oral corticosteroid use), or both (age, alcohol use, physical activity score).

After visualization for nonlinear relationships, multivariable regression models, adjusted for age, race, clinic site, BMI, smoking status, alcohol use, thyroid hormone use, self-reported history of hyperthyroid/Graves' disease, oral corticosteroid use, and physical activity score, were used to determine annualized percent change in total hip and femoral neck BMD per standard deviation (SD) decrease in TSH and increase in FT4 in the randomly selected men. Bone loss was also analyzed (in 1052 men without overt hyperthyroidism or hypothyroidism) by thyroid function category using linear regression models. Adjusted mean annualized percent bone loss was compared by thyroid function category and the value of p for trend was reported.

The risk of hip and nonspine fractures was determined using hazard models that accounted for the case-cohort sampling and adjusted for the same covariates described in the previous two paragraphs.23 Initial models used TSH and FT4 as continuous predictors, to examine the risk of fracture per SD decrease in TSH and increase in FT4. Models were then repeated using thyroid function categories: subclinical hyperthyroid, euthyroid, and subclinical hypothyroid.

Because previous literature has suggested a differential effect of age on the association between thyroid function on outcomes such as ischemic heart disease,24, 25 we tested for interaction between thyroid function and age. In addition, we repeated all analyses after excluding thyroid hormone users (n = 134). We also tested for an association between TSH within the normal range and bone loss and fracture, by excluding participants with TSH values outside normal limits (0.55–4.78 mIU/L). Finally, we tested the proportional hazards assumption and found no evidence of violation.


  1. Top of page
  2. Abstract
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgements
  9. References

Baseline characteristics

Baseline characteristics of the cohort by fracture status are described in Table 1. Overall, participants with fractures (nonspine or hip) were older, more likely to be white, and had lower total hip and femoral neck BMD than those without fractures. Participants who experienced hip fractures had a significantly lower BMI (p < 0.001), lower physical activity score (p = 0.01), were more likely to report a history of “high thyroid” or “Graves' disease” (p = 0.05), and consumed, on average, more alcoholic drinks per week (p < 0.001) than those without hip fractures. There was no significant difference in mean TSH or FT4 or prevalence of thyroid medication use between participants with hip fractures or nonspine fractures and those who did not fracture. A total of 134 participants were using thyroid hormone replacement, and none of the participants were on antithyroidal medications.

Table 1. Baseline Characteristics by Nonspine Fracture Status
CharacteristicsNonspine fracture Hip fracturep
No (n = 1420)Yes (n = 397)pNo (n = 1478)Yes (n = 157)
  1. Data are mean (SD) or n (%).

  2. BMI = body mass index; BMD = bone mineral density; TSH = thyroid-stimulating hormone (thyrotropin); FT4 = free thyroxine.

Age (years)73.6 (5.9)75.4 (6.4)<0.00173.6 (5.8)78.1 (6.1)<0.001
BMI (kg/m2)27.4 (3.7)27.2 (4.1)0.427.4 (3.7)26.3 (3.7)<0.001
White1292 (91.0)379 (95.5)0.0041345 (91.0)151 (96.2)0.03
Self-reported health      
 Excellent/good1212 (85.4)339 (85.4)0.991263 (85.5)133 (84.7)0.79
Physical activity score147.8 (68.7)144.8 (73.1)0.45147.8 (68.6)133.8 (69.0)0.01
Smoking status      
 Current52 (3.7)13 (3.3)0.8254 (3.7)7 (4.5)0.09
 Past850 (59.9)233 (58.7) 888 (60.1)80 (51.0) 
 Never518 (36.5)151 (38.0) 536 (36.3)70 (44.6) 
Alcohol (drinks/week)4.5 (7.1)4.1 (6.3)0.094.6 (7.1)2.9 (5.1)<0.001
Oral corticosteroid use33 (2.4)6 (1.6)0.4333 (2.3)2 (1.3)0.43
Total hip BMD (gm/cm2)0.96 (0.14)0.90 (0.15)<0.0010.96 (0.14)0.81 (0.12)<0.001
Femoral neck BMD (gm/cm2)0.79 (0.13)0.73 (0.13)<0.0010.79 (0.13)0.66 (0.11)<0.001
TSH (mIU/L)2.55 (2.30)2.86 (6.29)0.882.55 (2.27)2.38 (1.59)0.47
FT4 (pmol/L)0.99 (0.16)0.99 (0.17)0.780.99 (0.16)1.01 (0.18)0.35
Thyroid medication use102 (7.5)32 (8.4)0.53110 (7.8)14 (9.3)0.49
Self-reported history      
 Hyperthyroid/Graves' disease23 (1.6)8 (2.0)0.5923 (1.6)6 (3.8)0.05
 Low thyroid101 (7.1)36 (9.1)0.19110 (7.4)16 (10.2)0.22
Fall in past 12 months273 (19.2)126 (31.7)<0.001229 (20.3)45 (28.7)0.01

Participants with subclinical hypothyroidism were older than their euthyroid counterparts (mean age 76.4 versus 73.5 years). Oral corticosteroid use was more common among individuals with subclinical hyperthyroidism (8.1% versus 2.4% of euthyroid participants). Thyroid hormone use was more prevalent among participants with subclinical hyperthyroidism and hypothyroidism versus euthyroid individuals (Table 2). There was no significant association between baseline BMD, prevalent nonspine or hip fracture, or history of fall within the past year and thyroid function category.

Table 2. Baseline Characteristics by Thyroid Function Category
CharacteristicSubclinical hyperthyroid (n = 37)Euthyroid (n = 1350)Subclinical hypothyroid (n = 126)p
  1. Data are as mean (SD) or n (%).

  2. BMI = body mass index; TSH = thyroid-stimulating hormone (thyrotropin); FT4 = free thyroxine; BMD = bone mineral density.

Age (years)73.8 (5.9)73.5 (5.8)76.4 (6.4)<0.001
BMI (kg/m2)28.3 (4.4)27.4 (3.7)27.2 (3.5)0.28
White32 (86.5)1231 (91.2)118 (93.7)0.37
Self-reported health    
 Excellent/good32 (86.5)1158 (85.8)104 (82.5)0.59
Physical activity score124.5 (64.5)148.7 (69.1)140.9 (66.8)0.06
Smoking status    
 Current0 (0.0)53 (3.9)2 (1.6)0.23
 Past25 (67.6)813 (60.2)70 (55.6) 
 Never12 (32.4)484 (35.9)54 (42.9) 
Alcohol (drinks/week)4.7 (6.3)4.6 (7.1)3.1 (5.6)0.09
Oral corticosteroid use3 (8.1)31 (2.4)0 (0.0)0.02
TSH (mIU/L)0.32 (0.17)2.13 (0.96)6.66 (2.28) 
FT4 (pmol/L)14.80 (2.83)12.87 (1.80)11.84 (1.80) 
Thyroid medication use14 (37.8)76 (5.9)25 (20.7)<0.001
Self-reported history of:    
 Hyperthyroid/Graves' disease2 (5.4)19 (1.4)5 (4.0)0.02
 Low thyroid14 (37.8)78 (5.8)23 (18.3)<0.001
Total hip BMD (g/cm2)0.95 (0.13)0.95 (0.14)0.96 (0.16)0.78
Femoral neck BMD (g/cm2)0.78 (0.14)0.78 (0.13)0.80 (0.14)0.45
Prevalent nonspine fracture21 (56.8)715 (53.0)62 (49.2)0.64
Prevalent hip fracture1 (4.8)20 (2.7)4 (6.5)0.24
Fall in past 12 months7 (18.9)275 (20.4)27 (21.4)0.94

TSH, bone loss, and fracture

TSH levels were not associated with change in hip bone density. In multivariable-adjusted models using TSH as a continuous variable, each SD decrease in TSH was associated with a 0.15% increase (95% CI, −0.06% to 0.37%) in total hip BMD per year, and a 0.19% increase (95% CI, −0.09% to 0.47%) in femoral neck BMD per year.

In multivariable-adjusted models using TSH as a continuous variable, there was a statistically significant association between lower TSH levels and risk of hip fracture (relative hazard [RH] 1.31 per SD decrease in TSH; 95% CI, 1.01–1.71), but no association with nonspine fracture (RH 0.92 per SD decrease in TSH; 95% CI, 0.74–1.14).

Thyroid function category, bone loss, and fracture

Categories of thyroid function did not predict bone loss at the total hip or femoral neck (p = 0.12 for trend). For example, in multivariable-adjusted models of total hip BMD, subclinical hyperthyroidism was associated with a 0.87% decrease (95% CI, −2.36% to 0.62%), euthyroidism was associated with a 1.61% decrease (95% CI, −1.85% to −1.37%), and subclinical hypothyroidism was associated with a 2.13% decrease (95% CI, −2.97% to −1.29%) in total hip BMD per year. Results were similarly nonsignificant for bone loss at the femoral neck (p = 0.24 for trend). Subclinical hyperthyroidism was associated with a 1.68% decrease (95% CI, −3.65% to 0.29%), euthyroidism with a 1.52% decrease (95% CI, −1.83% to −1.21%), and subclinical hypothyroidism with a 2.38% decrease (95% CI, −3.48% to −1.26%) in femoral neck BMD.

There was no significant difference in risk of hip or nonspine fracture by thyroid function category (Table 3, Fig. 1). Compared with euthyroid participants, the multivariable-adjusted RH of nonspine fracture for individuals with subclinical hyperthyroidism was 1.18 (95% CI, 0.60–2.35) and for individuals with subclinical hypothyroidism it was 0.74 (95% CI, 0.48–1.13). The multivariable-adjusted RH of hip fracture in those with subclinical hyperthyroidism was 0.63 (95% CI, 0.15–2.69) and for participants with subclinical hypothyroidism it was 0.75 (95% CI, 0.40–1.41) compared with their euthyroid counterparts.

Table 3. Fracture Risk by Thyroid Function Category
 Age and clinic site–adjusted relative hazard (95% CI)Multivariable-adjusted relative hazard (95% CI)a
  • CI = confidence interval; BMI = body mass index.

  • a

    Adjusted for age, clinic site, race, BMI, physical activity score, alcohol intake, smoking status, corticosteroid use, and thyroid hormone use.

Thyroid function categoryAny nonspineHipAny nonspineHip
Subclinical hyperthyroid1.16 (0.60–2.23)0.57 (0.14–2.31)1.18 (0.60–2.35)0.63 (0.15–2.69)
Subclinical hypothyroid0.80 (0.53–1.21)0.85 (0.46–1.57)0.74 (0.48–1.13)0.75 (0.40–1.41)
thumbnail image

Figure 1. Kaplan Meier Curve of risk nonspine fracture by thyroid function category. Unadjusted incidence of nonspine fracture compared by thyroid function category with euthyroid as the referent category.

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FT4, bone loss, and fracture

There was no association between FT4 levels and bone loss or fracture risk. In multivariable-adjusted models, each SD increase in FT4 was associated with a 0.11% decrease (95% CI, –0.34% to 0.13%) in total hip BMD per year, and a 0.18% decrease (95% CI, –0.50% to 0.13%) in femoral neck BMD per year. Finally, FT4 levels, modeled continuously did not predict nonspine or hip fracture (multivariable-adjusted RH for nonspine fracture = 1.01 per SD increase in FT4; 95% CI, 0.89–1.15; for hip fracture = 1.14 per SD increase in FT4; 95% CI, 0.94–1.39).

Subgroup analyses/testing for interaction

Testing for a differential effect of thyroid function on fracture risk by age revealed a statistically significant interaction with nonspine fractures (value of p for interaction = 0.002 between continuous age and continuous TSH). Results stratified above and below the median age (73 years) suggested a protective effect of TSH for nonspine fractures in younger participants (value of p for interaction = 0.03). For participants <73 years old, the age- and site-adjusted RH of nonspine fracture per SD decrease in TSH was 0.74 (95% CI, 0.68–0.80) versus 1.04 (95% CI, 0.84–1.30) in participants >73 years old. Age-stratified analyses with hip fracture as the outcome, however, did not reveal a substantial differential effect of age (value of p for interaction = 0.97). For individuals <73 years old, the multivariable-adjusted RH of hip fracture per SD decrease in TSH was 1.12 (95% CI, 0.81–1.54) versus 1.40 (95% CI, 0.97–2.02) for participants >73 years old.

When examined by quartile of age, models similarly suggested a protective effect of lower TSH on nonspine fracture in the youngest participants (value of p for interaction = 0.006). The age- and site-adjusted RH was 0.66 (95% CI, 0.59–0.74) in the youngest quartile of age (65–68 years) versus 1.10 (95% CI, 0.87–1.39) in the oldest quartile (78–99 years). For hip fracture, however, the difference in risk between the youngest and oldest quartile of participants was minimal (value of p for interaction = 0.93). The age- and site-adjusted RH for hip fracture was 1.08 (95% CI, 0.42–2.81) in the youngest quartile of age versus 1.30 (95% CI, 0.84–1.99) for the oldest quartile.

Analyses were repeated after excluding thyroid hormone users (n = 134) and results were similar; neither TSH, FT4, nor thyroid function categories predicted bone loss or nonspine fracture (data not shown). The association between TSH and risk of hip fracture became somewhat stronger (RH 1.57; 95% CI, 1.15–2.12). The association between FT4 and hip fracture became borderline significant, with an RH for hip fracture of 1.20 per SD increase in FT4 (95% CI, 0.99–1.45) when thyroid hormone users were excluded.

Finally, analyses were repeated including only participants (n = 1658) with normal range TSH values (0.55–4.78 mIU/L) and results were similar. After multivariable adjustment, TSH within the normal range was not associated with annualized percent change in total hip BMD (0.11% decrease per year for each SD decrease in TSH; 95% CI, –0.35% to 0.12%) or femoral neck BMD (0.005% increase per year for each SD decrease in TSH; 95% CI, –0.31% to 0.32%). Similarly there was no evidence of an association with risk of nonspine fractures (RH 1.01 per SD decrease in TSH; 95% CI, 0.90–1.14). Within the normal range, we again observed a borderline statistically significant association between TSH and risk of hip fractures (RH 1.21 per SD decrease in TSH; 95% CI, 1.00–1.47).


  1. Top of page
  2. Abstract
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgements
  9. References

In this cohort of community-dwelling older men, lower TSH levels were associated with an increased risk of hip fracture but not with bone loss or nonspine fractures. We found no association between subclinical thyroid dysfunction or FT4 levels and bone loss or fracture. We also found some evidence that age may modify the relationship between TSH and fracture; specifically that younger individuals may be less susceptible to the potential adverse effects of low TSH (or higher thyroid function).

Overt hyperthyroidism is recognized as a cause of increased bone turnover and is generally thought to be a risk factor for fractures.2, 26 The association between milder degrees of thyroid dysfunction, such as subclinical hyperthyroidism and hypothyroidism, and skeletal health is less clear. In the Study of Osteoporotic Fractures (SOF), a prospective cohort of over 9000 U.S. women, low TSH levels were significantly associated with vertebral fractures, but only those with TSH ≤ 0.1 mIU/L had a significantly increased risk of hip fractures.3 However, the lack of FT4 measurements in that study precludes determination of whether the risk is present at any degree of TSH suppression or only with overt hyperthyroidism. A recent analysis of the Cardiovascular Health Study (CHS) compared fracture risk in participants with subclinical thyroid disease versus euthyroid counterparts. Increased risk of hip fracture with subclinical hyperthyroidism and subclinical hypothyroidism was observed in men, but not in women.4 This is in contrast with our study, in which men with subclinical hyperthyroidism or hypothyroidism had neither an increased nor decreased risk of fracture.

We observed a statistically significant association between lower TSH levels and hip fracture, which persisted when analyses were restricted to the normal range of TSH values and was stronger after exclusion of participants using exogenous thyroid hormone. However, due to the lack of a relationship between TSH and nonspine fractures, and a lack of association between TSH and BMD, the mechanism of this association remains unexplained. One possible hypothesis is that the increased hip fracture risk is due to increased bone turnover that has not yet been detected by BMD changes on DXA scan. In addition, the fact that hip fracture, but not vertebral fracture risk, was increased could be due to a preferential catabolic effect of thyroid hormone on cortical bone, which has been described.27–29

Previous studies that have also sought to determine the relationship between thyroid function within the normal range and skeletal health have yielded conflicting results. In the Osteoporosis and Ultrasound Study (OPUS), higher TSH levels within the normal range were associated with a 35% reduction in nonvertebral fractures in postmenopausal women, even after adjustment for age, BMI, and BMD. Fracture risk was significantly increased in women with higher FT4 levels, again suggesting that higher thyroid function is a risk factor for osteoporosis and fracture.6 The OPUS study also found that higher FT4 was associated with lower hip BMD, but interestingly TSH was not associated with BMD, suggesting that the relationship between thyroid function and skeletal health may be mediated by factors besides bone density. In contrast to these findings, the cross-sectional Tromsø Study found no association between serum TSH within the normal range and BMD in a cohort of men and postmenopausal women, although participants with the lowest TSH levels (below the 2.5th percentile) had decreased BMD at the distal radius.8 Two recent cross-sectional studies in all-male cohorts have also produced inconsistent results. Kim and colleagues,9 in a study of euthyroid Korean men (mean age 55 years), found that participants in the highest quintile of TSH had higher BMD at the lumbar spine and femoral neck, though the association with the femoral neck was no longer significant after adjusting for alcohol use and smoking status. Conversely, in a younger cohort of euthyroid Belgian men (mean age 34 years) Roef and colleagues10 reported no association between TSH and BMD or quantitative computed tomography (QCT) measurements. Higher levels of free and total T3 and total T4, however, were associated with decreased BMD at the hip. In the present study, we found no association between TSH within the normal range and BMD; although, similar to the OPUS study, we did observe an increased risk of hip fracture with lower serum TSH values.

The mechanism by which thyroid function affects skeletal health is complex. Biochemical markers of bone turnover, such as osteocalcin and bone-specific alkaline phosphatase, are elevated in individuals with thyroid hormone excess.2, 30 Increased bone turnover may contribute to fragility and increased fracture risk even in the absence of bone loss captured by DXA scan. The increased bone turnover in hyperthyroid states has traditionally been attributed to increased thyroid hormone (T3 and T4) levels; however, rodent studies suggest a potential direct effect of TSH on bone.31 TSH receptors have been found on osteoblasts and osteoclasts, and in one study recombinant TSH had antiresorptive effects in ovariectomized rats.31, 32 In the present study, we found lower TSH levels to be associated with risk of hip fracture, but no association was seen with FT4 levels. Given that there is a strong inverse correlation between TSH and FT4 levels, this finding is unexpected and may support a T4-independent effect of TSH on the skeleton. An alternative explanation for this finding is that T4 is a less sensitive indicator of overall thyroid status than TSH. Another possible mechanism is decreased musculoskeletal function in those with lower TSH (or higher thyroid function); however, we did not find an increased prevalence of falls in participants with subclinical hyperthyroidism.

Thyroid hormone use is an important potential confounder and the relationship between thyroid hormone use itself and bone health is also important to determine. In the SOF, thyroid hormone use was not independently associated with increased risk of hip fracture.3 Similarly, the Thyroid Epidemiology Audit and Research Study (TEARS) found that patients on long-term T4 replacement therapy with low but unsuppressed TSH (0.04–0.4 mIU/L) did not have an increased risk of fractures.33 In our study, univariate analysis found no association between thyroid hormone use and nonspine or hip fractures. We adjusted for thyroid hormone use in our models, and models excluding thyroid hormone users showed a stronger association between lower TSH levels and hip fracture risk, suggesting oversuppression with exogenous thyroid hormone was not driving the observed relationship. One possible explanation for the stronger association between TSH and hip fracture after excluding those taking thyroid hormone replacement is that abnormally low TSH in these individuals with known thyroid disease is more likely to be identified by laboratory monitoring and therefore corrected. Individuals with mild endogenous thyroid hyperfunction may not come to medical attention and therefore may endure a longer period of exposure to higher levels of endogenous thyroid hormone.

Our study has several strengths. The MrOS is a well-characterized cohort in which osteoporosis risk fractures are thoroughly assessed and fracture outcomes are carefully measured.34 It is the first study to evaluate the relationship between thyroid function and fracture risk in a large, entirely-male cohort. One potential limitation is the single measure of thyroid function at baseline. Data suggests that up to 25% of abnormally high or low TSH values will spontaneously normalize.35–37 Furthermore, the likelihood of normalization of a low TSH depends on the degree of suppression, and mildly suppressed TSH levels (0.1–0.4 mIU/L) are more likely to revert to euthyroid.38 In our study, most participants with subclinical hyperthyroidism had low but detectable TSH values (0.1–0.4 mIU/L), and thus may have been more likely to normalize TSH over time. If these participants with abnormally low TSH at baseline reverted to euthyroidism during the study, this may have biased results toward the null. In addition, thyroid hormone use was only assessed at baseline and not during follow-up, but results were similar when thyroid hormone users were excluded. The bias due to the competing risk of mortality is a potential concern in an older population. However, the mortality rate in this study was low: 1.8 deaths per 100 person years for the subclinical hyperthyroid men; 2.2 deaths per 100 person years in the euthyroid men, and 3.6 deaths per 100 person years for the subclinical hypothyroid men. Thus, aside from the use of proportional hazards models, we did not attempt to account for the competing risk mortality that may bias results when mortality rates are high.39 Finally, despite a relatively large cohort few participants had abnormal TSH values and CIs were wide; therefore, significant associations may have been missed.

In summary, in this large prospective study of older men, we did not find any difference in fracture risk or bone loss among individuals with subclinical hyperthyroidism or hypothyroidism, though we did observe a borderline association between lower TSH and increased risk of hip fracture. The appropriate management of subclinical thyroid dysfunction remains controversial,18, 40 and although our findings support the hypothesis that lower TSH may increase hip fracture risk, further studies are needed to determine whether the treatment of minor thyroid function abnormalities is warranted for fracture prevention.


  1. Top of page
  2. Abstract
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgements
  9. References

The Osteoporotic Fractures in Men (MrOS) Study is supported by National Institutes of Health (NIH) funding. The following institutes provide support: the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), the National Institute on Aging (NIA), the National Center for Research Resources (NCRR), and the NIH Roadmap for Medical Research under the following grant numbers: U01 AR45580, U01 AR45614, U01 AR45632, U01 AR45647, U01 AR45654, U01 AR45583, U01 AG18197, U01-AG027810, and UL1 RR024140. The authors had no restrictions on availability of raw data or statistical analyses.

Authors' roles: Study design: ACW and DCB. Data analysis: SH and ACW. Data interpretation: ACW, DCB, and SH. Drafting manuscript: ACW and DCB. Revising manuscript content: ACW, DCB, SH, HAF, MHS, PMC, JMZ, and ESO. Approving final version of manuscript: DCB, HAF, MHS, PMC, JMZ, and ESO. ACW takes responsibility for the integrity of the data analysis.


  1. Top of page
  2. Abstract
  3. Introduction
  4. Subjects and Methods
  5. Results
  6. Discussion
  7. Disclosures
  8. Acknowledgements
  9. References
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